Part of Speech Tagging for Indonesian Language using Bidirectional Long Short-Term Memory

Part of Speech (POS) is a label to distinguish a word based on its grammatical and morphological form. By providing the POS label, we can get the contextual meaning. This label can be used as contextual features for several computational linguistic research - for example, word sense disambiguation, chunking, machine translation, and sequence classification. Our work is done by using bidirectional long short-term memory to do the part of speech tagging task for Bahasa Indonesia. We use deep learning model for Indonesia language POS tagging because deep learning can achieve excellent performance on it. We could reach 96.92% of F1 Score based on our approach.